Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Dynamic Handwriting Analysis for Neurodegenerative Disease Assessment: A Literary Review
Gennaro Vessio
Applied Sciences (2019) Vol. 9, Iss. 21, pp. 4666-4666
Open Access | Times Cited: 76

Showing 1-25 of 76 citing articles:

Handwriting Biometrics: Applications and Future Trends in e-Security and e-Health
Marcos Faúndez-Zanuy, Julián Fiérrez, Miguel A. Ferrer, et al.
Cognitive Computation (2020) Vol. 12, Iss. 5, pp. 940-953
Open Access | Times Cited: 108
Sequence-based dynamic handwriting analysis for Parkinson’s disease detection with one-dimensional convolutions and BiGRUs
Moises Díaz, Momina Moetesum, Imran Siddiqi, et al.
Expert Systems with Applications (2020) Vol. 168, pp. 114405-114405
Open Access | Times Cited: 72
Diagnosing Alzheimer’s disease from on-line handwriting: A novel dataset and performance benchmarking
Nicole Dalia Cilia, Giuseppe De Gregorio, Claudio De Stefano, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 111, pp. 104822-104822
Closed Access | Times Cited: 45
ML-Powered Handwriting Analysis for Early Detection of Alzheimer’s Disease
Uddalak Mitra, Shafiq Ul Rehman
IEEE Access (2024) Vol. 12, pp. 69031-69050
Open Access | Times Cited: 11
Dynamics of Digital Pen-Tablet: Handwriting Analysis for Person Identification Using Machine and Deep Learning Techniques
Tahmid Hasan, Md Abdur Rahim, Jungpil Shin, et al.
IEEE Access (2024) Vol. 12, pp. 8154-8177
Open Access | Times Cited: 8
Multimodal Technologies for Remote Assessment of Neurological and Mental Health
Vikram Ramanarayanan
Journal of Speech Language and Hearing Research (2024) Vol. 67, Iss. 11, pp. 4233-4245
Closed Access | Times Cited: 7
Cartesian genetic programming for diagnosis of Parkinson disease through handwriting analysis: Performance vs. interpretability issues
Antonio Parziale, Rosa Senatore, Antonio Della Cioppa, et al.
Artificial Intelligence in Medicine (2020) Vol. 111, pp. 101984-101984
Closed Access | Times Cited: 49
From Online Handwriting to Synthetic Images for Alzheimer's Disease Detection Using a Deep Transfer Learning Approach
Nicole Dalia Cilia, Tiziana D’Alessandro, Claudio De Stefano, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 25, Iss. 12, pp. 4243-4254
Closed Access | Times Cited: 33
Tremor-related feature engineering for machine learning based Parkinson’s disease diagnostics
Elli Valla, Sven Nõmm, Kadri Medijainen, et al.
Biomedical Signal Processing and Control (2022) Vol. 75, pp. 103551-103551
Closed Access | Times Cited: 25
A literature review of online handwriting analysis to detect Parkinson’s disease at an early stage
Ibtissame Aouraghe, Ghizlane Khaissidi, Mostafa Mrabti
Multimedia Tools and Applications (2022) Vol. 82, Iss. 8, pp. 11923-11948
Closed Access | Times Cited: 24
A novel approach for handwriting recognition in Parkinson's disease by combining flexible sensing with deep learning technologies
Yue Zhang, Haifeng Lin, Xiangjie Xie, et al.
Sensors and Actuators A Physical (2025), pp. 116287-116287
Closed Access
Detection of Personality Traits Using Handwriting and Deep Learning
Daniel Gagiu, Dorin Şendrescu
Applied Sciences (2025) Vol. 15, Iss. 4, pp. 2154-2154
Open Access
Cognitive Handwriting Insights for Alzheimer’s Diagnosis: A Hybrid Framework
Shafiq Ul Rehman, Uddalak Mitra
Information (2025) Vol. 16, Iss. 3, pp. 249-249
Open Access
Handwriting strokes as biomarkers for Alzheimer’s disease prediction: A novel machine learning approach
Emanuele Nardone, Claudio De Stefano, Nicole Dalia Cilia, et al.
Computers in Biology and Medicine (2025) Vol. 190, pp. 110039-110039
Closed Access
Interpol questioned documents review 2019–2022
Marie Deviterne-Lapeyre, Samiah Ibrahim
Forensic Science International Synergy (2023) Vol. 6, pp. 100300-100300
Open Access | Times Cited: 12
Towards Parkinson’s Disease Detection Through Analysis of Everyday Handwriting
J. D. Gallo-Aristizabal, Daniel Escobar-Grisales, Cristian David Ríos-Urrego, et al.
Diagnostics (2025) Vol. 15, Iss. 3, pp. 381-381
Open Access
Deep transfer learning algorithms applied to synthetic drawing images as a tool for supporting Alzheimer’s disease prediction
Nicole Dalia Cilia, Tiziana D’Alessandro, Claudio De Stefano, et al.
Machine Vision and Applications (2022) Vol. 33, Iss. 3
Closed Access | Times Cited: 17
A survey of visual and procedural handwriting analysis for neuropsychological assessment
Momina Moetesum, Moises Díaz, Uzma Masroor, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 12, pp. 9561-9578
Open Access | Times Cited: 16
Detection and Classification of Neuro-Degenerative Disease via EfficientNetB7
R. Sathishkumar, M. Govindarajan, R. Dhivyasri
Lecture notes in networks and systems (2024), pp. 223-234
Closed Access | Times Cited: 3
MicroRNA expression classification for pediatric multiple sclerosis identification
Gabriella Casalino, Giovanna Castellano, Arianna Consiglio, et al.
Journal of Ambient Intelligence and Humanized Computing (2021) Vol. 14, Iss. 12, pp. 15851-15860
Open Access | Times Cited: 22
Adaptive Critical Care Intervention in the Internet of Medical Things
Andrea Pazienza, R. Anglani, Giulio Mallardi, et al.
(2020)
Closed Access | Times Cited: 22
Parkinson’s Disease Diagnosis: Towards Grammar-based Explainable Artificial Intelligence
Flavia Cavaliere, Antonio Della Cioppa, Angelo Marcelli, et al.
2022 IEEE Symposium on Computers and Communications (ISCC) (2020), pp. 1-6
Closed Access | Times Cited: 22
Feature Selection as a Tool to Support the Diagnosis of Cognitive Impairments Through Handwriting Analysis
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, et al.
IEEE Access (2021) Vol. 9, pp. 78226-78240
Open Access | Times Cited: 18
Advances in Multimodal Behavioral Analytics for Early Dementia Diagnosis: A Review
Chathurika Palliya Guruge, Sharon Oviatt, Pari Delir Haghighi, et al.
(2021), pp. 328-340
Closed Access | Times Cited: 18
Automated Analysis of Drawing Process to Estimate Global Cognition in Older Adults: Preliminary International Validation on the US and Japan Data Sets
Yasunori Yamada, Kaoru Shinkawa, Masatomo Kobayashi, et al.
JMIR Formative Research (2022) Vol. 6, Iss. 5, pp. e37014-e37014
Open Access | Times Cited: 13
Page 1 - Next Page

Scroll to top